Title: Factors affecting police station efficiency: DEA in police logistics

Authors: Zilla Sinuany-Stern; Doron Alper

Addresses: Department of Industrial Engineering and Management, Ben Gurion University of the Negev, P.O.B. 653, Beer-Sheva, 8410501, Israel ' Department of Industrial Engineering and Management, Ben Gurion University of the Negev, P.O.B. 653, Beer-Sheva, 8410501, Israel

Abstract: This study identifies factors affecting police station performance in Israel. In the first stage, data envelopment analysis (DEA) was used to measure the relative efficiency of 60 police stations, based on two inputs and 16 outputs, including several logistic parameters. In the second stage, a cross-efficiency (CE) measure was then used to rank-scale police stations. We show that CE, which is calculated as the average of its evaluations using the weights of all stations, has a normal distribution. In the third stage, multiple regressions were performed to verify the effect of various logistic and environmental factors on CE efficiency (from the second stage). We found that one logistical factor, the number of vehicles of the population in a station's jurisdiction, was statistically significant. We show that the use of CE in the regression analysis offers a novel approach for dealing with stochastic DEA.

Keywords: efficiency; logistics; data envelopment analysis; DEA; police; police performance; productivity; benchmark; linear programming; statistical inference; performance; regression analyses; Israel.

DOI: 10.1504/IJLSM.2019.102064

International Journal of Logistics Systems and Management, 2019 Vol.34 No.1, pp.75 - 101

Received: 16 Mar 2017
Accepted: 09 Jan 2018
Published online: 05 Sep 2019 *

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